B.Sc. in Data Science and Analytics
- B.Sc. in Data Science and Analytics Highlights 2026
- Quick Facts
- About B.Sc. in Data Science and Analytics
- Programme Snapshot
- Eligibility Snapshot
- B.Sc. in Data Science and Analytics Admission Process 2026
- B.Sc. in Data Science and Analytics Fees 2026
- Top Colleges Offering B.Sc. in Data Science and Analytics
B.Sc. in Data Science and Analytics Highlights 2026
Choosing the right course involves evaluating factors such as admission opportunities, programme fees, placement outcomes, career growth and long-term industry demand. The table below provides a quick overview of the key details related to B.Sc. in Data Science and Analytics.
| Particular | Details |
| Course Name | B.Sc. in Data Science and Analytics |
| Course Level | UG |
| Duration | 3 Years |
| Popular Entrance Exams | JEE Main , GATE , JEE Advanced , BITSAT , WBJEE |
| Average Course Fees | ₹1.85 L |
| Average Starting Salary | ₹4.00 L |
| Highest Reported Package | ₹4.00 L |
| Top Recruiters | ACCENTURE, Aditya Birla Group, Amazon, CapGemini, Cognizant, HCL, Hexaware Technologies, IBM, ICICI Securities, IDBI Bank, Infosys, Kotak Mahindra Bank |
| Stream | IT and Software |
| Programme | B.Sc. |
| Specialization | Agriculture |
| Mode of Study | Full Time |
Quick Facts
- The programme is generally completed within 3 Years.
- Admissions are conducted through JEE Main , GATE , JEE Advanced , BITSAT , WBJEE and institute-level selection processes.
- Average course fees range from ₹1.61 L to ₹2.40 L depending on the institution.
- The programme continues to attract strong demand across the IT and Software stream and related sectors.
About B.Sc. in Data Science and Analytics
B.Sc. in Data Science and Analytics is designed for students interested in developing expertise in the IT and Software stream. The programme combines classroom learning, practical training, project-based work, internships and industry exposure to prepare students for employment and higher education opportunities.
Demand for professionals with skills related to the IT and Software stream has increased significantly across leading industries and employers. As a result, B.Sc. in Data Science and Analytics remains one of the preferred choices among students evaluating career-oriented programmes.
Programme Snapshot
| Particular | Details |
| Programme Level | UG |
| Course Type | Degree |
| Duration | 3 Years |
| Course Mode | Full Time |
Eligibility Snapshot
Admission requirements may vary across institutions. Candidates should verify specific eligibility conditions before applying.
B.Sc. in Data Science and Analytics Admission Process 2026
Admission Process
- Complete the required qualification.
- Register for the relevant entrance examination or institute application.
- Appear for the examination or selection process.
- Participate in counselling or admission rounds.
- Select preferred institutions.
- Complete document verification.
- Confirm admission through fee payment.
B.Sc. in Data Science and Analytics Fees 2026
Course fees vary based on institution type, facilities, infrastructure, faculty strength and placement performance.
Fee Comparison by Institution Type
| Institution Type | Fee Range |
| Private Universities | ₹1.61 L – ₹2.40 L |
Fee Analysis
| Particular | Value |
| Lowest Reported Fee | ₹1.61 L |
| Highest Reported Fee | ₹2.40 L |
| Average Fee | ₹1.85 L |
What the Data Shows
- Government institutions remain comparatively affordable.
- Private institutions generally report higher programme fees.
- Fee comparisons should be evaluated alongside placement outcomes and return on investment.
Top Colleges Offering B.Sc. in Data Science and Analytics
Students frequently compare colleges based on fees, rankings, placements and admission competition.
| College | Total Fees | Average Package |
| Hindusthan College of Arts and Science | ₹2.40 L | ₹3.68 L |
| Sharda University | ₹1.61 L – ₹1.72 L | ₹4.00 L |
| Madurai Kamaraj University | — | ₹1.42 L |
| Karunya University | — | ₹4.00 L |
| Dr. HBSU | — | — |
College Comparison Snapshot
| Particular | Value |
| Total Colleges Offering Programme | 5 |
| Government Colleges | 2 |
| Private Colleges | 3 |
| Highest Average Package | ₹4.00 L |
Frequently Asked Questions
What is B.Sc. in Data Science and Analytics?
B.Sc. in Data Science and Analytics is a UG programme in the IT and Software stream, typically completed over 3 Years. It combines classroom learning, practical training and industry exposure to prepare students for employment and higher education.
What is the eligibility criteria for B.Sc. in Data Science and Analytics?
Eligibility for B.Sc. in Data Science and Analytics depends on the qualifying examination, academic background and institute-specific requirements. Candidates should verify criteria on official college admission pages before applying.
What is the admission process for B.Sc. in Data Science and Analytics?
Admission to B.Sc. in Data Science and Analytics is usually conducted through JEE Main, GATE, JEE Advanced, BITSAT, WBJEE, along with merit-based or institute-level selection where applicable. The process generally includes registration, entrance exam or merit screening, counselling or shortlisting, document verification and fee payment.
Which entrance exams are accepted?
Colleges offering B.Sc. in Data Science and Analytics commonly accept JEE Main, GATE, JEE Advanced, BITSAT, WBJEE. Some institutions also provide admission through merit-based or direct institute-level processes.
What are the average fees for B.Sc. in Data Science and Analytics?
Average fees for B.Sc. in Data Science and Analytics are around ₹1.85 L, with reported fees ranging from ₹1.61 L to ₹2.40 L depending on institution type and location.
Which colleges are best for B.Sc. in Data Science and Analytics?
Leading colleges for B.Sc. in Data Science and Analytics include Hindusthan College of Arts and Science, Sharda University, Madurai Kamaraj University, Karunya University, Dr. HBSU. Rankings, cutoffs and fees differ by entrance exam, category and admission round.
What are the placement opportunities after B.Sc. in Data Science and Analytics?
Graduates of B.Sc. in Data Science and Analytics are recruited by employers such as ACCENTURE, Aditya Birla Group, Amazon, CapGemini, Cognizant, HCL, Hexaware Technologies, IBM, ICICI Securities, IDBI Bank, Infosys, Kotak Mahindra Bank. Placement outcomes depend on college reputation, internships, skills and specialization.
What is the average salary after B.Sc. in Data Science and Analytics?
The average starting salary after B.Sc. in Data Science and Analytics is around ₹4.00 L. Packages vary by college, specialization, skills and employer.
What are the career opportunities after B.Sc. in Data Science and Analytics?
Graduates of B.Sc. in Data Science and Analytics can pursue roles across the IT and Software sector, public-sector organisations and private companies.
Which specialization offers the best career growth?
Among available options, Agriculture is a notable specialization for B.Sc. in Data Science and Analytics. The best choice depends on career goals, industry demand and personal aptitude.
Is B.Sc. in Data Science and Analytics worth pursuing?
B.Sc. in Data Science and Analytics can be worth pursuing when fees (around ₹1.85 L), placement outcomes (average salary around ₹4.00 L) and career goals align. Compare colleges, ROI and specialization fit before deciding.
Key Takeaways
| Particular | Details |
| Duration | 3 Years |
| Average Fees | ₹1.85 L |
| Average Salary | ₹4.00 L |
| Top Recruiters | ACCENTURE, Aditya Birla Group, Amazon, CapGemini, Cognizant, HCL, Hexaware Technologies, IBM, ICICI Securities, IDBI Bank, Infosys, Kotak Mahindra Bank |
| Industry Demand | Demand remains strong in the IT and Software stream and related sectors, with hiring across established companies and emerging employers. |
Final Summary
B.Sc. in Data Science and Analytics remains a popular academic programme due to its combination of career opportunities, industry relevance and long-term growth potential. Candidates should compare colleges, fees, placements, curriculum, specializations and return on investment before making an admission decision. Evaluating these factors together provides a clearer picture of career outcomes than considering fees or rankings alone.
